GitHub

03-matrix-multiplication.py

* Program re-ordering for improved L2 cache hit rate. * Automatic performance tuning. # Motivations # Matrix multiplications are a key building block of most modern high-performance computing systems.
GitHub

03-matrix-multiplication-cpu.py

In this tutorial, you will write a very short high-performance FP32 matrix multiplication kernel. You will specifically learn about: * Block-level matrix multiplications. * Multi-dimensional pointer ...
IEEE

Energy Efficient Exact and Approximate Systolic Array Architecture for Matrix Multiplication

Abstract: Deep Neural Networks (DNNs) require highly efficient matrix multiplication engines for complex computations. This paper presents a Systolic Array (SA) architecture incorporating novel exact ...
IEEE

Portable, High Performance Matrix Multiplication Micro-Kernels for RISC-V with ExO

Abstract: The proliferation of RISC-V platforms and their use in a wide variety of scientific applications, including deep learning scenarios, has dramatically increased the interest to generate ...